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Hierarchical forecasts of Diabetes mortality in Mexico by marginalization and sex to establish resource allocation

Eliud Silva () and Corey Sparks ()
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Eliud Silva: Universidad Anahuac Mexico
Corey Sparks: The University of Texas at San Antonio

EconoQuantum, Revista de Economia y Finanzas, 2021, vol. 18, issue 2, 82-98

Abstract: Objective The mexican population has experimented an astounding rise in type II Diabetes mortality as well as a growing trend for the economic burden in the recent years. The paper’s purpose is to propose an approach to establish a distribution of resource allocation objectively to face the future economic burden. Methodology Hierarchical forecasts of Diabetes mortality to 2030 by sub-domains of the population are estimated based on marginalization and sex. Results The forecasts confirm that differences related to sub-domains will be significant. In fact, the rates will increase most notably both in low and high marginalized. Limitations The hierarchical method just provide point forecast without prediction intervals. Originality There is not a similar application for Mexican data to do that objectively. Conclusions The most recommendable budget distribution should be mainly addressed among the low and high levels. Implications of these estimates should support unpostponable health policy in general and for the mentioned sub-domains in particular.

Keywords: Diabetes; mortality; hierarchical forecasts; marginalization; resource allocation. (search for similar items in EconPapers)
JEL-codes: C32 C46 C53 (search for similar items in EconPapers)
Date: 2021
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https://econoquantum.cucea.udg.mx/index.php/EQ/article/view/7225
https://econoquantum.cucea.udg.mx/index.php/EQ/issue/view/700

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